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conflict measure MODEL FOR LARGE GROUP DECISION BASED ON INTERVAL INTUITIONISTIC TRAPEZOIDAL FUZZY NUMBER AND ITS APPLICATION

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Journal of Systems Science and Systems Engineering 2013年第4期22卷 487-498页

作者： Xuanhua XU JoongHo AHN Xiaohong CHEN Yanju ZHOU School of Business Central South University College of Business Administration Seoul National University

The problem of measuring conflict in large-group decision making is examined with every decision preference expressed by multiple interval intuitionistic trapezoidal fuzzy numbers （IITFNs）. First, a distance measurement between two IITFNs is given and a function of conflict between two members of the large group is proposed. Second, members of the large group are clustered. A measurement model of group conflict, which is applied to aggregating large-group preferences, is then proposed by employing the conflict measure of clusters. Finally, a simulation example is presented to validate the models. These models can deal with the preference analysis and coordination of a large-group decision, and are thus applicable to emergency group decision making.

关键词： Interval intuitionistic trapezoidal fuzzy number large group decision making conflict measure

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Combination method of conflict evidences based on evidence similarity

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Journal of Systems Engineering and Electronics 2017年第3期28卷 503-513页

作者： Wenhao Bi An Zhang Yuan Yuan School of Aeronautics Northwestern Polytechnical UniversityXi’an 710129China

Aiming at the problem that the traditional Dempster Shafer (D-S) evidence theory cannot deal with conflicted evidences effectively and correctly, this paper points out that the key issue of this problem is to measure the degree of conflict between evidences correctly after analyzing various improved methods. The existing evidence conflict measure methods are analyzed, and a new evidence conflict measure method called evidence similarity measure based on the Tanimoto measure is proposed, while a new evidence combination method is proposed on the basis of evidence similarity measure. Firstly, the conflict degrees between evidences are obtained through the evidence similarity measure. Then the evidence sources are modified based on the credibility of different evidences and the weights of conflicted parts of evidences on different focal elements are determined. Finally, the fusion result is obtained by this method. Numerical examples show that the proposed method can effectively fuse evidences when evidences are consistent or highly conflicted, and it has a fast convergence speed, a high degree of accuracy and good adaptability.

关键词： evidence theory evidence conflict conflict measure evidence similarity information fusion

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